Carregant...
Carregant...

Vés al contingut (premeu Retorn)

Inferring long memory processes in the climate network via ordinal pattern analysis

Autor
Barreiro, M.; Marti, A. C.; Masoller, C.
Tipus d'activitat
Article en revista
Revista
Chaos : an interdisciplinary journal of nonlinear science
Data de publicació
2011-03
Volum
21
Número
1
Pàgina inicial
1
Pàgina final
8
DOI
https://doi.org/10.1063/1.3545273 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/13145 Obrir en finestra nova
URL
http://chaos.aip.org/resource/1/chaoeh/v21/i1/p013101_s1 Obrir en finestra nova
Resum
We analyze climatological data from a complex networks perspective, using techniques of nonlinear time series symbolic analysis. Specifically, we employ ordinal patterns and binary representations to analyze monthly averaged surface air temperature (SAT) anomalies. By computing the mutual information of the time series in regular grid points covering the Earth’s surface and then performing global thresholding, we construct climate networks that uncover short-term memory processes, as well as l...
Citació
Barreiro, M.; Marti, A.; Masoller, C. Inferring long memory processes in the climate network via ordinal pattern analysis. "Chaos", Març 2011, vol. 21, núm. 1, p. 1-8.
Grup de recerca
DONLL - Dinàmica no Lineal, Òptica no Lineal i Làsers

Participants

Arxius